Schedule a Demo

VegaLytics Health

Data Curation

Data Curation has five components:

1. Translation and Standardization
2. Data Quality Engine
3. Common Data Model
4. Reference Data Sets
5. Data Warehouse

Health Systems and Health Plans are experiencing a deluge of data. Rapid advancements in social media, data acquisition technologies, digital imaging devices, and wearables are all dumping massive amounts of diverse data into the hands of health plans. This adds to the already-complex network of multiple providers with different IT systems

VegaLytics is designed to ingest any type of Health or Social data. It has prebuilt adapters to ingest EDI, xls, csv, images, IoT, voice, video into a single system.

Translation and Standardization:

A Healthcare eco system produces varied types and formats of data which can be challenging to translate and extract insights for the right context. Additionally, along with mergers and acquisitions, most Health Systems are challenged further wrangling additional sources and perform activities which includes, but is not limited to, data standardization and interoperability, across thousands of cases and providers.

VegaLytics Health has a UI based data translation engine to convert structured data into a common data model. The data translation engine comprises of a set of tools for EDI conversion, xls, csv, direct ingestion of SQL, IoT, Voice, Image and Video into the storage location. The platform requires no coding, only configuration. This greatly reduces the time needed to go live.

Data Quality Engine:

VegaLytics Health Data Quality Engine has prebuilt business rules covering Demographic, Claims, Eligibility information helping Health systems to jumpstart their Data Quality Management (DQM) initiative. It is designed to help run your growing business efficiently by onboarding new customers data smoothly. This ensures all your client’s data is processed and mapped correctly – thereby detecting any early claim leakages. Engine is designed to be scalable, flexible that can integrate with any of client’s partners and can work with any type of data.

The pre-built rules are classified under three categories:

  • Data Cleansing Rules: Validates data structures and formats against definitions in the common data model. For example, Social Security Number or Zip codes having alphabets.
  • Data Domain Rules: Validates data rules for defined health data domains and values. Examples: Member is missing coverage dates, Date ranges for coverage are invalid, etc.
  • Business Logic Rules: Validates Business rules on Domains or cross-domains. For example: claim date outside benefit coverage, Payments matching issues with claims, etc. The cleansed data is fed into the modern data warehouse or can be served back to the health system for further analysis.

Common Data Model:

VegaLytics Health includes a Common Data Model (CDM) which represent your organization’s logical entities. This acts as a base for information correlation. CDM relates information from all business areas and enables context creation, providing the backbone for an organization’s decision-support, analytical, and information environment. It is designed to accommodate new lines of business, new payment models, supporting evolving government mandates on compliance reporting and wide range of analytical applications.

Reference Data Sets:

VegaLytics Health has built in referential data sets: CPT, ICD9/10, RevCodes, HCPCS, etc. grouped as per industry standards to provide meaningful insights to the business. Building these relationships enables viewing information from multiple perspectives to gain stronger business insights.


Health system specific Common Data Model based Datawarehouse for curated and collated data to build contexts such as Episodes, Categorizations, ICD/CPT matching, High-cost claimants, low cost Providers and many more. Additionally, enriches information with industry reference data to support slicing and dicing for different perspectives.

Datawarehouse represents a single source of truth and makes the information available on-demand for visualization or any of your other needs, internal or external. Datawarehouse is easily extensible to bring in other quality data sources to meet your enterprise information needs and leverage your existing investment in VegaLytics Health.

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google
Consent to display content from - Spotify
Sound Cloud
Consent to display content from - Sound